Title | ||
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A Neural Approach to Source Dependence Based Context Model for Statistical Machine Translation. |
Abstract | ||
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In statistical machine translation, translation prediction considers not only the aligned source word itself but also its source contextual information. Learning context representation is a promising method for improving translation results, particularly through neural networks. Most of the existing methods process context words sequentially and neglect source long-distance dependencies. In this p... |
Year | DOI | Venue |
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2018 | 10.1109/TASLP.2017.2772846 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Artificial neural networks,Context modeling,Decoding,Speech,Encoding,Semantics,Speech processing | Speech processing,Language translation,Programming language,Computer science,Machine translation,Phrase,Context model,Natural language processing,Artificial intelligence,Artificial neural network,Speech recognition,Semantics,Encoding (memory) | Journal |
Volume | Issue | ISSN |
26 | 2 | 2329-9290 |
Citations | PageRank | References |
5 | 0.45 | 50 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kehai Chen | 1 | 43 | 16.34 |
Tiejun Zhao | 2 | 643 | 102.68 |
Yang Muyun | 3 | 112 | 29.50 |
Lemao Liu | 4 | 87 | 18.74 |
Akihiro Tamura | 5 | 11 | 4.58 |
Rui Wang | 6 | 19 | 2.68 |
Masao Utiyama | 7 | 714 | 86.69 |
Eiichiro SUMITA | 8 | 1466 | 190.87 |